Ash Space
GitHubHuggingFace
  • Contents
  • ๐Ÿฅ‘Resume / CV
    • Reseume / CV
  • ๐Ÿ“„Paper Review
    • Paper List
      • [2017] Attention is all you need
      • [2023] CoVe : Chain of Verification Reduces Hallucination in Large Language Models
      • [2024] RAG Survey : A Survey on Retrieval-Augmented Text Generation for Large Language Models
      • [2023] Interleaving Retrieval with Chain-of-Thought for Knowledge-Intensive Multi-Step Questions
      • [2024] Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
      • [2020] ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
      • [2024] Retrieval Augmented Generation (RAG) and Beyond
      • [2009] Reciprocal Rank Fusion outperforms Condorcet and individual Rank Learning Methods
      • [2024] Don't Do RAG : When Cache-Augmented Generation is All you Need for Knowledge Tasks
      • [2024] Text2SQL is Not Enough : Unifying AI and Database with TAG
  • ๐Ÿ—‚๏ธResearch Article
    • Reference List
      • Dataset
      • LLM
      • Prompt Engineering
      • LLMops
      • RAG & Agent
      • Etc
    • Compounded AI System : The Shift from Models to Compound AI Systems
    • LLM๊ณผ Grounding
    • Essence of RAG
    • How to reduce Hallucinations
    • Golden Gate Claude Review
    • Editorial Thinking
    • Embedding์„ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐฉ๋ฒ•
    • ๋‚˜์•ผ, Chunk
    • ๋‹น์‹ .. Chunking์ด ๋ญ”์ง€ ์ •ํ™•ํžˆ ์•Œ์•„..?
    • ๊ทธ๋ž˜์„œ ์ œ์ผ ์ข‹์€ Chunking์ด ๋ญ”๋ฐ?
    • ์›…์žฅํ•œ ๋Œ€๊ฒฐ AI Agent์™€ Agentic AI
    • UV์จ๋„ ๊ดœ์ฐฎ์•„~ ๋”ฉ๋”ฉ๋”ฉ๋”ฉ๋”ฉ
    • ์•„๋ฌด๋„ RAG ํ‰๊ฐ€ ์…‹ ๋งŒ๋“œ๋Š” ๊ฒƒ์— ๊ด€์‹ฌ๊ฐ€์ง€์ง€ ์•Š์•„~
    • Linguistic Prompts
    • Chroma์•ผ, Chunking ํ‰๊ฐ€๋ฅผ ์–ด๋–ป๊ฒŒ ํ•œ๋‹ค๊ณ ?
    • Generations Never Easy
    • Model Context Protocol
    • Chill์น ์น˜ ๋ชปํ•œ Function Calling
    • RAG ํ‰๊ฐ€์ง€ํ‘œ ์ •๋ณตํ•˜๊ธฐ
    • LLM Quantization ๋ฐฉ๋ฒ•๋ก  ์•Œ์•„๋ณด๊ธฐ
    • LLM์€ ๋”์šฐ๋ฉด ํ—›์†Œ๋ฆฌ๋ฅผ ํ•ด?
    • Text2SQL ๋„Œ ๋‚ด๊บผ์•ผ!
  • ๐Ÿต๏ธConference
    • ์ผํ• ๋ง› ํŒ๊ต 3์›” ์„ธ๋ฏธ๋‚˜
    • LangChainOpenTutorial๋ฅผ ์ง„ํ–‰ํ•˜๋ฉฐ
    • Talk: Prompt and Language The Science of Prompts ํ›„๊ธฐ
    • 2024๋…„ ํšŒ๊ณ 
    • ์ œ 7ํšŒ Kako Tech Meet Up ํ›„๊ธฐ
    • Moducon 2023 ํ–‰์‚ฌ ํ›„๊ธฐ
    • GDGXGDSC DevFest Happy Career ํ–‰์‚ฌ ํ›„๊ธฐ
    • ๋ชจ๋‘๋ฅผ ์œ„ํ•œ ํ•œ๊ตญ์–ด ์˜คํ”ˆ์•ก์„ธ์Šค ์–ธ์–ด๋ชจ๋ธ ๋ชป๋‹คํ•œ ์ด์•ผ๊ธฐ (feat. ๋ชจ๋‘์—ฐ) #1
    • ๋ชจ๋‘๋ฅผ ์œ„ํ•œ ํ•œ๊ตญ์–ด ์˜คํ”ˆ์•ก์„ธ์Šค ์–ธ์–ด๋ชจ๋ธ ๋ชป๋‹คํ•œ ์ด์•ผ๊ธฐ (feat. ๋ชจ๋‘์—ฐ) #2
    • ๋งจ๋•…์—์„œ ๊ตฌ์ถ•ํ•ด๋ณธ ๊ฐœ์ธํ™”์‹œ์Šคํ…œ ๊ตฌ์ถ•๊ธฐ Session ํ›„๊ธฐ
  • โ™Ÿ๏ธBasic
    • 00 Introduction
    • 01-1 LLM ์ง€๋„
    • 01-2 LLM์˜ ์ค‘์ถ” ํŠธ๋žœ์Šคํฌ๋จธ ์•„ํ‚คํ…์ฒ˜ ์‚ดํŽด๋ณด๊ธฐ
Powered by GitBook